Refereed full papers (journals, book chapters, international conferences)

1992

@article{HiI1992,
	vgclass =	{refpap},
	vgproject =	{nn,invariance},
	author =	{Glenn S. Himes and Rafael M. I\~{n}igo},
	title =	{Automatic Target Recognition Using a {N}eocognitron},
	journal =	{IEEE Transactions on Knowledge and Data Engineering},
	volume =	{4},
	number =	{2},
	pages =	{167--172},
	month =	{April},
	year =	{1992},
	abstract =	{This paper describes the use of a neocognitron in an
	automatic target recognition system. An image is acquired, edge
	detected, segmented, and centred on a log-spiral grid using subsystems
	not discussed in this paper. A conformal transformation is used to map
	the log-spiral grid to a computation plane in which rotations and
	scalings are transformed to displacements along the vertical and
	horizontal axes, respectively.  Since the neocognitron can recognize
	shifted objects, the use of log-spiral images by the neocognitron
	enables the system to recognize scaled, rotated, and translated
	objects. Two modifications to prior neocognitron implementations are
	described. A new weight reinforcement method is introduced which solves
	a significant training problem for the neocognitron. A method of
	reducing training time is also introduced which specifies the initial
	weights in the network. All subsequent layers are trained using
	unsupervised learning. Simulation results using $32 \times 32$ and $64
	\times 64$ ICBM images are presented.},
}